On the convex formulations of robust Markov decision processes

21 September 2022

Papers citing "On the convex formulations of robust Markov decision processes"

6 / 6 papers shown

Title
Formal Verification of Markov Processes with Learned Parameters Muhammad Maaz Timothy C. Y. Chan 40 0 0 27 Jan 2025
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 64 0 0 29 Aug 2024
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Julien Grand-Clément Marko Petrik 20 12 0 31 Jan 2023
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 46 52 0 12 Oct 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 87 135 0 30 Jan 2021
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 48 59 0 21 Jul 2020